Papers
Backward-Compatible Prediction Updates: A Probabilistic Approach
Frederik Träuble, Julius von Kügelgen, Matthäus Kleindessner et al.
Balanced Chamfer Distance as a Comprehensive Metric for Point Cloud Completion
Tong Wu, Liang Pan, Junzhe Zhang et al.
Baleen: Robust Multi-Hop Reasoning at Scale via Condensed Retrieval
Omar Khattab, Christopher Potts, Matei Zaharia
Bandit Learning with Delayed Impact of Actions
Wei Tang, Chien-Ju Ho, Yang Liu
Bandit Phase Retrieval
Tor Lattimore, Botao Hao
Bandit Quickest Changepoint Detection
Aditya Gopalan, Braghadeesh Lakshminarayanan, Venkatesh Saligrama
Bandits with Knapsacks beyond the Worst Case
Karthik Abinav Sankararaman, Aleksandrs Slivkins
Bandits with many optimal arms
Rianne de Heide, James Cheshire, Pierre Ménard et al.
BARTScore: Evaluating Generated Text as Text Generation
Weizhe Yuan, Graham Neubig, Pengfei Liu
BAST: Bayesian Additive Regression Spanning Trees for Complex Constrained Domain
Zhao Tang Luo, Huiyan Sang, Bani Mallick
Batch Active Learning at Scale
Gui Citovsky, Giulia DeSalvo, Claudio Gentile et al.
Batched Thompson Sampling
Cem Kalkanli, Ayfer Ozgur
Batch Multi-Fidelity Bayesian Optimization with Deep Auto-Regressive Networks
Shibo Li, Robert Kirby, Shandian Zhe
Batch Normalization Orthogonalizes Representations in Deep Random Networks
Hadi Daneshmand, Amir Joudaki, Francis R. Bach
BatchQuant: Quantized-for-all Architecture Search with Robust Quantizer
Haoping Bai, Meng Cao, Ping Huang et al.
Bayesian Adaptation for Covariate Shift
Aurick Zhou, Sergey Levine
Bayesian Bellman Operators
Mattie Fellows, Kristian Hartikainen, Shimon Whiteson
Bayesian decision-making under misspecified priors with applications to meta-learning
Max Simchowitz, Christopher Tosh, Akshay Krishnamurthy et al.
Bayesian Optimization of Function Networks
Raul Astudillo, Peter Frazier
Bayesian Optimization with High-Dimensional Outputs
Wesley J Maddox, Maximilian Balandat, Andrew G Wilson et al.
BayesIMP: Uncertainty Quantification for Causal Data Fusion
Siu Lun Chau, Jean-Francois Ton, Javier González et al.
BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery
Chris Cundy, Aditya Grover, Stefano Ermon
BCORLE($\lambda$): An Offline Reinforcement Learning and Evaluation Framework for Coupons Allocation in E-commerce Market
Yang Zhang, Bo Tang, Qingyu Yang et al.
Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration
Xiao Wang, Hongrui Liu, Chuan Shi et al.
Behavior From the Void: Unsupervised Active Pre-Training
Hao Liu, Pieter Abbeel